Array
(
    [0] => stdClass Object
        (
            [journal] => stdClass Object
                (
                    [id_jnl] => 97
                )

        )

    [1] => stdClass Object
        (
            [section] => stdClass Object
                (
                    [section] => 999
                )

        )

    [2] => stdClass Object
        (
            [title] => Array
                (
                    [0] => Prospective analysis of the development trends of Spanish journalistic portals@en
                    [1] => Análisis prospectivo de las tendencias de desarrollo de los portales periodísticos españoles@es
                )

        )

    [3] => stdClass Object
        (
            [abstract] => Array
                (
                    [0] => The taxonomical study of the structure of journalistic web portals and of the frequency analysis of their elements —informative products, documentary products and added value services— have centered the reviews about their development. Data mining is a technology that allows the identification of trends and patterns followed in this development. This begins from the original knowledge base conformed by the group of works previously developed, and allows the recovery of additional information. Applying a multivariant analysis to the matrix formed by the Journalistic portals and their elements, we will obtain several series of clusters that will allow to determine which journalistic portals establish the trend to follow, at the same time that gives additional information about their communication groups and about the original mass media related to the portal —press, radio, television or Internet—. The positive results extracted from this research verify its viability, predicting possible aplications of this methodology to other types of web portals@en
                    [1] => El estudio taxonómico de la estructura de los portales periodísticos y el análisis de la frecuencia de aparición de sus componentes —productos informativos, productos documentales y servicios de valor añadido— han fijado el actual estado de la cuestión sobre su desarrollo. La minería de datos es una tecnología que permite identificar tendencias y patrones seguidos en ese desarrollo a partir de la base de conocimientos aportada por los trabajos anteriormente llevados a cabo, permitiendo recuperar información suplementaria a la ya explicitada. Aplicando un análisis multivariante a la matriz de portales periodísticos y elementos componentes, se obtiene una serie de agrupamientos que permitirán determinar qué portales marcan la tendencia a seguir, al mismo tiempo que se aporta información adicional sobre sus grupos de comunicación y sobre el medio origen del que proceden —prensa, radio, televisión o Internet—. El positivo resultado de esta investigación verifica su viabilidad, vaticinando su posible adaptación a otros tipos de portales desarrollados en la web@es
                )

        )

    [4] => stdClass Object
        (
            [author] => Array
                (
                    [0] => Francisco Javier Martínez Méndez
                    [1] => Rosana López Carreño
                )

        )

    [5] => stdClass Object
        (
            [subject] => Array
                (
                )

        )

    [6] => stdClass Object
        (
            [source] => stdClass Object
                (
                    [vol] => 11
                    [nr] => 2
                    [year] => 2005
                    [theme] => 
                )

        )

    [7] => stdClass Object
        (
            [datePub] => Array
                (
                    [0] => 2005-06-01
                )

        )

    [8] => stdClass Object
        (
            [DOI] => Array
                (
                    [0] => stdClass Object
                        (
                            [type] => DOI
                            [value] => Array
                                (
                                    [0] => 10.54886/scire.v11i2.1520
                                )

                        )

                )

        )

    [9] => stdClass Object
        (
            [http] => Array
                (
                    [0] => stdClass Object
                        (
                            [type] => HTTP
                            [value] => Array
                                (
                                    [0] => https://www.ibersid.eu/ojs/index.php/scire/article/view/1520
                                )

                        )

                    [1] => stdClass Object
                        (
                            [type] => HTTP
                            [value] => Array
                                (
                                    [0] => https://www.ibersid.eu/ojs/index.php/scire/article/view/1520/1498
                                )

                        )

                )

        )

    [10] => stdClass Object
        (
            [language] => Array
                (
                    [0] => es
                )

        )

    [11] => stdClass Object
        (
            [license] => Array
                (
                    [0] => RESERVED
                    [1] => by-nc-nd/4.0
                )

        )

)